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7 Exergy analysis of an atmospheric residue desulphurization hydrotreating process for a crude oil refinery

  • Poland Jelihi and Edwin Zondervan
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Process Systems Engineering
This chapter is in the book Process Systems Engineering

Abstract

The exhaustion of petroleum reserves and the declining supply of conventional feedstock have forced refineries to use heavier crude oil in their production. Removing the undesirable components containing sulphur andmetals in the atmospheric residue (AR) fraction requires extensive catalytic hydrotreating (HT) atmospheric residue desulphurization (ARDS) process. In this work, we endeavour to collect and present a comprehensive dataset to develop and simulate the ARDS HT model. This model is then used for an exergetic analysis to evaluate the performance of the ARDS HT model regarding the exergy destruction, the location of losses and exergetic efficiency. The massive exergy destruction is caused by significant differences in chemical exergy of source and product streams during separations, fractionation and reactions. The exergy destruction in the equipment independent of chemical exergies such as heat exchangers, pumps and compressors is relatively low. This exergetic analysis revealed that the majority of the processing equipment in the ARDS HT process performed satisfactorily. However, the remaining equipment requires improvement for its performance in regards to exergetic efficiency or/and avoidable exergetic losses. To enhance the efficiency of the equipment that is intensive in terms of exergy and energy use, the use of clean and high purity renewable hydrogen and several process rectification is proposed

Abstract

The exhaustion of petroleum reserves and the declining supply of conventional feedstock have forced refineries to use heavier crude oil in their production. Removing the undesirable components containing sulphur andmetals in the atmospheric residue (AR) fraction requires extensive catalytic hydrotreating (HT) atmospheric residue desulphurization (ARDS) process. In this work, we endeavour to collect and present a comprehensive dataset to develop and simulate the ARDS HT model. This model is then used for an exergetic analysis to evaluate the performance of the ARDS HT model regarding the exergy destruction, the location of losses and exergetic efficiency. The massive exergy destruction is caused by significant differences in chemical exergy of source and product streams during separations, fractionation and reactions. The exergy destruction in the equipment independent of chemical exergies such as heat exchangers, pumps and compressors is relatively low. This exergetic analysis revealed that the majority of the processing equipment in the ARDS HT process performed satisfactorily. However, the remaining equipment requires improvement for its performance in regards to exergetic efficiency or/and avoidable exergetic losses. To enhance the efficiency of the equipment that is intensive in terms of exergy and energy use, the use of clean and high purity renewable hydrogen and several process rectification is proposed

Chapters in this book

  1. Frontmatter I
  2. Foreword V
  3. Contents IX
  4. List of contributing authors XVII
  5. 1 Hydrogen production via water splitting over graphitic carbon nitride (g-C3N4)-based photocatalysis 1
  6. 2 Optimization of electrolysis and carbon capture processes for sustainable production of chemicals through Power-to-X 41
  7. 3 Optimization of hydrogen supply from renewable electricity including cavern storage 55
  8. 4 Integrating multi-objective superstructure optimization and multi-criteria assessment: a novel methodology for sustainable process design 97
  9. 5 Process intensification and digital twin – the potential for the energy transition in process industries 131
  10. 6 The role of bioprocess systems engineering in extracting chemicals and energy from microalgae 151
  11. 7 Exergy analysis of an atmospheric residue desulphurization hydrotreating process for a crude oil refinery 173
  12. 8 Supply chain optimization framework for CO2 capture, utilization, and storage in Germany 211
  13. 9 Design of hydrogen supply chains under demand uncertainty – a case study of passenger transport in Germany 239
  14. 10 Multi-objective optimization of CCUS supply chains for European countries with higher carbon dioxide emissions 261
  15. 11 Certainty through uncertainty: stochastic optimization of grid-integrated large-scale energy storage in Germany 289
  16. 12 Shaping the future energy markets with hybrid multimicrogrids by sequential least squares programming 307
  17. 13 Development of future-proof supply concepts for sector-coupled district heating systems based on scenario-analysis 343
  18. 14 Power to the city: Assessing the rooftop solar photovoltaic potential in multiple cities of Ecuador 383
  19. Index 419
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